Markin + Klaviyo
Profile properties and events for commerce lifecycle.
Commerce lifecycle programmes usually run out of ideas before they run out of capacity. Markin supplies the next hypothesis and reads whether it was actually incremental.
Attribute write-backTriggered event
What Markin reads
- Profile properties and list membership
- Flow and campaign engagement
What Markin writes back
- Profile properties carrying the chosen action
- Events that trigger flows
How the connection works
| Pattern | What it means here |
|---|---|
| Attribute write-back | Markin writes the decision onto the customer profile; your existing journeys read it as an entry condition. Latency is the platform's sync interval. |
| Triggered event | Markin emits an event that starts or advances a journey. Near-immediate, and the channel keeps its own governance. |
Klaviyo questions
- How does Markin connect to Klaviyo?
- Attribute write-back, Triggered event. Markin writes the decision onto the customer profile; your existing journeys read it as an entry condition. Latency is the platform's sync interval.
- What does Markin read from Klaviyo?
- Profile properties and list membership; Flow and campaign engagement.
- What does Markin write back into Klaviyo?
- Profile properties carrying the chosen action Events that trigger flows
- Do we have to move our data to Markin?
- No. Markin reads from your warehouse, product events and operational systems in place, on your compute, under the access rules your data team already set. Nothing is copied into a separate customer base and there is no vendor-side profile store to migrate off later.
- Does Markin replace our engagement platform or CDP?
- No, and it should not. Your engagement platform keeps the channel, the templates, the deliverability and the governance. Your CDP keeps identity and consent. Markin adds the layer neither has: deciding which action deserves to exist for each customer, and proving it against a holdout.
- What if the system we use is not listed?
- The four activation patterns cover almost everything: attribute write-back, triggered event, decision API and direct surface rendering. Any system that exposes an API, accepts a table, or can read a warehouse column can receive decisions. New connectors are built during deployment, typically in days.